Real-Time Hyperbola Recognition and Fitting in GPR Data

The problem of automatically recognizing and fitting hyperbolae from ground-penetrating radar (GPR) images is addressed, and a novel technique computationally suitable for real-time on-site application is proposed. After preprocessing of the input GPR images, a novel thresholding method is applied t...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2017-01, Vol.55 (1), p.51-62
Main Authors: Qingxu Dou, Lijun Wei, Magee, Derek R., Cohn, Anthony G.
Format: Article
Language:English
Subjects:
Algorithms
Buried asset detection
Clustering
Clustering algorithms
column-connection clustering (C3) algorithm
Data analysis
Electromagnetic radiation
Graphs
Ground penetrating radar
ground-penetrating radar (GPR)
hyperbola recognition
Hyperbolas
Image edge detection
Learning algorithms
Machine learning
Machine learning algorithms
Object recognition
orthogonal-distance fitting
Partitioning algorithms
Patchiness
Propagation velocity
Radar
Radar imaging
Real time
Real-time systems
Regions
Signatures
Transforms
Wave propagation
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